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Tuesday, November 10 • 1:00pm - 1:30pm
Machine Learning to Save Lives - Taposh Dutta Roy

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Clinical data science has been around since the invent of modern medicine. However, with advent of new technology and data we can now better predict outcomes. In this presentation we will discuss machine learning in health care in general and focus on Early Detection of Impending Physiological Disorder (EDIP). EDIP helps us predict 12 hours before the advent of an Unplanned transfer to ICU. 

The ultimate goal of any knowledge is to impact human life. Machine learning and data mining has been at the forefront of this effort. A lot of effort has gone into explaining the benefits of data science in general. However, the ultimate goal is to save lives. In this presentation we will present the current state of predictive analytics used in health care and focus on one use case. That use case is Early Detection of Impending Physiological Disorder. In this use case we will discuss deployment of a predictive model for in hospital deterioration.

avatar for Taposh Dutta Roy

Taposh Dutta Roy

Health Data Project Lead/Scientist, Kaiser Permanante
Technical executive and advisor with a passion for turning data into actionable insights, meaningful stories and awesome products. I have a unique combination of product, technology and strategy consulting, data science and start-up experience. I am a consumer focused, machine learning and data science geek. | | https://www.kaggle.com/duttaroy | https://github.com/taposh/ | | Experienced in diverse domains :  | Biotech Start-ups... Read More →

Tuesday November 10, 2015 1:00pm - 1:30pm
Erdos Stage